The use of eye movements in human-computer interaction techniques: what you look at is what you get
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
Inferring intent in eye-based interfaces: tracing eye movements with process models
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Intelligent gaze-added interfaces
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Evaluation of eye gaze interaction
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Twenty years of eye typing: systems and design issues
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
Usability Engineering
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Auditory and visual feedback during eye typing
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Features of Eye Gaze Interface for Selection Tasks
APCHI '98 Proceedings of the Third Asian Pacific Computer and Human Interaction
Eye Typing using Markov and Active Appearance Models
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Text Entry Systems: Mobility, Accessibility, Universality
Text Entry Systems: Mobility, Accessibility, Universality
Now Dasher! Dash away!: longitudinal study of fast text entry by Eye Gaze
Proceedings of the 2008 symposium on Eye tracking research & applications
All eyes on the monitor: gaze based interaction in zoomable, multi-scaled information-spaces
Proceedings of the 13th international conference on Intelligent user interfaces
CHI '09 Extended Abstracts on Human Factors in Computing Systems
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The complex interplay between gaze tracker accuracy and interface design is the focus of this paper. Two slightly different variants of GazeTalk, a hierarchical typing interface, were contrasted with a novel interface, Dasher, in which text entry is done by continuous navigation. All of the interfaces were tested with a good and a deliberate bad calibration of the tracker. The purpose was to investigate, if performance indices normally used for evaluation of typing systems, such as characters per minute (CPM) and error-rate, could differentiate between the conditions, and thus guide an iterative system development of both trackers and interfaces. Gaze typing with one version of the static, hierarchical menu systems was slightly faster than the others. Error measures, in terms of rate of backspacing, were also significantly different for the systems, while the deliberate bad tracker calibrations did not have any measurable effect. Learning effects were evident under all conditions. Power-law-of-practice learning models suggested that Dasher might be more efficient than GazeTalk in the long run.